1. Introduction

Youth & Adult Literacy Rates Datasets Link

The data is a CSV from Kaggle. This dataset contains data on literacy rates for youth and adults in various regions and countries.

2. Analysing:

3. Why Literacy Project?

Growing up, many people in my community, neighborhood and family were not able to read and write. So I wanted to see the literacy rate in recent years and picked it for the project

4. Library Loading

• library(dplyr): using for data manipulation

• library(tidyverse): using to transform and better present data

• library(ggplot2): using for data visualization and plotting charts

• library(plotly): using for creating interactive web-based graphs

## Warning: package 'tidyverse' was built under R version 4.3.2

5. Reading in Data

## Rows: 4,955
## Columns: 7
## $ index           <dbl> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, …
## $ Region          <chr> "Central and Southern Asia", "Central and Southern Asi…
## $ Country         <chr> "Afghanistan", "Afghanistan", "Afghanistan", "Afghanis…
## $ Year            <dbl> 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, …
## $ Age             <chr> "15+", "15+", "15+", "15-24", "15-24", "15-24", "25-64…
## $ Gender          <chr> "female", "male", "total", "female", "male", "total", …
## $ `Literacy rate` <dbl> 0.1761206, 0.4541710, 0.3174112, 0.3211322, 0.6187907,…

## Rows: 202
## Columns: 9
## $ Country                           <chr> "Afghanistan", "Albania", "Algeria",…
## $ Region                            <chr> "SA", "ECA", "MENA", "ECA", "SSA", "…
## $ `Sub-region`                      <chr> NA, "EECA", NA, "WE", "ESA", NA, NA,…
## $ `Least developed countries (LDC)` <chr> "LDC", NA, NA, NA, "LDC", NA, NA, NA…
## $ `Africa sub-regions`              <chr> NA, NA, "Northern Africa", NA, "Sout…
## $ `Africa region`                   <chr> NA, NA, "All", NA, "All", NA, NA, NA…
## $ Total                             <dbl> 43, 98, 81, NA, NA, NA, NA, 99, NA, …
## $ Male                              <dbl> 55, 99, 87, NA, NA, NA, NA, 99, NA, …
## $ Female                            <dbl> 30, 98, 75, NA, NA, NA, NA, 99, NA, …

6. Countries with Higest Literacy rate

## # A tibble: 155 × 2
##    Country            mean_lit_rate
##    <chr>                      <dbl>
##  1 Ukraine                    1.00 
##  2 Uzbekistan                 0.999
##  3 San Marino                 0.999
##  4 Latvia                     0.999
##  5 Estonia                    0.999
##  6 Lithuania                  0.998
##  7 Kazakhstan                 0.997
##  8 Belarus                    0.997
##  9 Russian Federation         0.997
## 10 Cuba                       0.996
## # ℹ 145 more rows

7. Countries with Lowest Literacy rate

## # A tibble: 155 × 2
##    Country                  mean_lit_rate
##    <chr>                            <dbl>
##  1 Chad                             0.217
##  2 Guinea                           0.259
##  3 Niger                            0.278
##  4 Mali                             0.308
##  5 South Sudan                      0.308
##  6 Sierra Leone                     0.333
##  7 Burkina Faso                     0.334
##  8 Benin                            0.335
##  9 Afghanistan                      0.348
## 10 Central African Republic         0.371
## # ℹ 145 more rows

8. Countries with High Female Literacy rate

## # A tibble: 202 × 4
##    Country     Male Female  diff
##    <chr>      <dbl>  <dbl> <dbl>
##  1 Malta         93     96    -3
##  2 Mongolia      98     99    -1
##  3 Seychelles    95     96    -1
##  4 Eswatini      88     89    -1
##  5 Uruguay       98     99    -1
##  6 Argentina     99     99     0
##  7 Belarus      100    100     0
##  8 Brazil        93     93     0
##  9 Colombia      95     95     0
## 10 Costa Rica    98     98     0
## # ℹ 192 more rows

9. Countries with Low Female Literacy rate

## # A tibble: 202 × 4
##    Country                   Male Female  diff
##    <chr>                    <dbl>  <dbl> <dbl>
##  1 Afghanistan                 55     30    25
##  2 Central African Republic    50     26    24
##  3 Benin                       54     31    23
##  4 Mali                        46     26    20
##  5 Nepal                       79     60    19
##  6 Morocco                     83     65    18
##  7 Nigeria                     71     53    18
##  8 Burkina Faso                50     33    17
##  9 Sierra Leone                52     35    17
## 10 India                       82     66    16
## # ℹ 192 more rows

10. Literacy rate by Age

11. Male & Female Literacy rate by region

## # A tibble: 7 × 2
##   Region                           mean_lit_rate
##   <chr>                                    <dbl>
## 1 Europe and Northern America              0.979
## 2 Oceania                                  0.912
## 3 Latin America and the Caribbean          0.907
## 4 Eastern and South-Eastern Asia           0.882
## 5 Northern Africa and Western Asia         0.851
## 6 Central and Southern Asia                0.718
## 7 Sub-Saharan Africa                       0.616

12. Measuring the progress of a Region’s literacy rate over time

13. Comparing the literacy rates of different countries of Sub-Saharan Africa Region

14. Region’s literacy rate by Gender

15. —

16. …Measuring the progress of a country’s literacy rate over time

17. Comparing the literacy rates of different countries

18. Comparing the literacy rates of different age groups in a country

19. Analysing the literacy rates of a country

20. Analysis / Summary